Senior Data Engineer

AI overview

Contribute to the design and scaling of data infrastructure and models, while driving cultural change and excellence in data practices within a growing fintech company.

Who we are:

We are a rapidly growing pan-European digital wealth manager, serving over 167,000 active investors with more than £5.5 billion invested on our platform. We began in Milan in 2011 with the purpose to help more people improve their financial well-being by making personal investing simple and accessible through technology. Fast forward to today, and we are recognised as one of the most innovative fintechs, headquartered in the heart of London.

With a team of 220+ people across 4 offices in Italy and the UK, we are proudly backed and funded by major partners including Poste Italiane, Cabot Square Capital, United Ventures, and Allianz.

Our vision

Our vision is to combine passion, expertise, and technology to provide best-in-class investment solutions and advice that protects and grows client wealth over time.

Our Core Values:

We’ve built our business on three Principles:

  • Relationships are our first asset: We’re one team, built on trust, honesty, and transparency. We value our relationships above all else.
  • Trust drives success: We give each other the space to grow. We empower our employees to succeed, so they can make a real impact.
  • Our customers dream big, just like us: We see the bigger picture and we make sure our customers see it, too. We’re always focused on the best outcomes for our clients and for each other, no matter what the goal, or how big the dream

What this means in practice:

At Moneyfarm, our success comes from the impact each of us makes. We move with purpose, urgency, and ambition, focused on delivering outcomes that matter for our clients and our business. Everyone is empowered to take ownership, challenge the status quo, and turn bold ideas into results. As we evolve, we embrace AI as a catalyst for sharper thinking, smarter decisions, and even greater impact.

Our diversity makes this possible. Different perspectives, backgrounds, and experiences fuel our creativity and drive better decisions — it’s our competitive edge. We value people for who they are and their unique strengths: that's why we offer flexible ways of working to support them in doing their best work.

Candidates who belong to 'Categoria protetta' (Legge 68/99) are more than welcome!

About the role

Data plays a central role in Moneyfarm’s success. 

Are you excited about launching a new product and building data pipelines from scratch? Are you ready to help us fine tune our Redshift + Airflow + DBT data platform while decommissioning legacy components? If you are a builder with a tilt for future-proof solutions, we want to hear from you.

Main responsibilities:

      • Contribute to the design, implementation, and maintenance of data infrastructure for ingestion, orchestration, and transformation.
      • Build and maintain Moneyfarm’s analytical data models, ensuring they are performant, scalable, and reliable.
      • Contribute to the incremental decommissioning of legacy components while ensuring data continuity for the business.
      • Share best practices through code reviews and knowledge sharing, supporting the growth of the team.
      • Work closely with analysts, software engineers, and product teams to solve complex data problems and deploy ML/AI applications.
      • Bring positive impact to Moneyfarm data culture by sharing knowledge and promoting best practices

Requirements

      • Background
        • 5+ years of relevant work experience in data engineering roles
        • BSc or higher degree in Engineering, Computer Science or related discipline
        • Experience in fintech / wealth management
      • Skills 
        • Deep proficiency in SQL and Python
        • Meaningful experience with Airflow and DBT
        • Strong experience with Redshift (BigQuery is a plus)
        • Experience with AWS and familiarity with Infrastructure-as-Code (Terraform)
        • Excellent written and verbal communications skills, also with non technical stakeholders
        • Ability to translate business requirements into well-designed data solutions
        • Comfortable working in iterative environments balancing quality and delivery
        • Fluency in English is essential (most stakeholders are UK based).

This role can be based in our offices in Milan, London or Cagliari. Our smart working policy requires 2+ days of in-office presence per week.

For this role, please upload your CV in English.

Who we are:We’re a pan-European digital wealth manager with 50,000 active investors (growing fast!) and over £1.2 billion invested on our platform. With 130+ people across 3 offices in Italy and the UK, we’re supported and funded by Poste Italiane, Cabot Square Capital and Allianz. We started in 2011 in Milan with a simple vision - to help more people improve their financial well-being by making personal investing straightforward and accessible through technology. Fast forward a few years, and we’re known as one of the most innovative fintechs headquartered in the heart of London. Mission:To provide investment solutions and advice to protect and grow client wealth through time.Our core values:We’ve built our business on three Principles:- Relationships are our first assetWe’re one team, built on trust, honesty and transparency. We value our relationships above all else.- Trust drives successWe give each other the space to grow. We empower our employees to succeed, so they can make a real impact.- Our customers dream big, just like usWe see the bigger picture and we make sure our customers see it, too. We’re always focused on the best outcomes for our clients and for each other, no matter what the goal, or how big the dream. What this means in practice:At Moneyfarm, diversity is the foundation of our competitive advantage. We value our employees for who they are – their backgrounds, experiences, talents, knowledge and individual differences. This is what makes us better at what we do. To accommodate our different needs and commitments, we offer flexible working to all. Our individual impact and output is what counts most.

View all jobs
Ace your job interview

Understand the required skills and qualifications, anticipate the questions you may be asked, and study well-prepared answers using our sample responses.

Senior Data Engineer Q&A's
Report this job
Apply for this job